GitHub

Text Generation with LSTM in Python

This project implements a text generation algorithm using an LSTM (Long Short-Term Memory) model trained on Shakespeare's works. The model learns the patterns of characters in the text to generate new ...
GitHub

Stock Trend Prediction Using Python, Machine Learning, Flask & LSTM

This project predicts stock trends using LSTM (Long Short-Term Memory) neural networks. The model is built using Python and integrated into a Flask web application to provide a user-friendly interface ...
IEEE

Grid LSTM based Attention Modelling for Traffic Flow Prediction

Abstract: Traffic flow prediction is an important task that can directly impact the control of traffic flow positively and improve the overall traffic throughput. Although a large number of studies ...
Frontiers

Improved SVM-LSTM-based resource flow forecasting for the low-carbon urban distribution grid

Resource flow supports the delivery of products and services and plays a vital role in the low-carbon urban distribution grid. Therefore, reasonable forecasting of the resource flow is essential for ...